Lead Author: Emmanuel E. Ntiri
All Authors: Emmanuel E. Ntiri; Melissa F. Holmes; Parisa M. Forooshani; Joel Ramirez; Fuqiang Gao; Miracle Ozzoude; Sabrina Adamo; Christopher J. M. Scott; Dar Dowlatshahi; Jane M. Lawrence-Dewar; Donna Kwan; Anthony E. Lang; Sean Symons; Robert Bartha; Stephen Strother; Jean-Claude Tardif; Mario Masellis; Richard H. Swartz; Alan Moody; Sandra E. Black; Maged Goubran
Successful segmentation of different parts of brain images is of critical importance when studying neurodegeneration through neuroimaging. We compared several robust algorithms that use their own unique methodologies to achieve this segmentation. Our own models were tested on a large dataset of older adults with varying degrees of cerebrovascular lesions and degeneration. Our resulting multi-contrast models outperformed other methods across many of the evaluation metrics.